Biological Tissue Image Analysis Quality Review System
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Solution Overview
Problem
Flow cytometry is limited by its destructive nature, which prevents analysis of intact biological samples and the detection of inter-particle morphological characteristics, such as physical proximity, in the original sample.
Innovation Solution
A computer-implemented method and system for quality review of biological tissue analysis, enabling users to select and review fields-of-view, perform morphological analyses, and provide quality scores through a graphical user interface, allowing for non-destructive analysis and visualization of biomarker expression and morphological features.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If flow cytometry is used to analyze biological samples, then biomarker expression levels can be detected, but the original biological sample is destroyed and inter-particle morphological characteristics cannot be analyzed
Solution Approach 1:
The patent creates digital copies of the biological sample through image capture and stores them in a database. These digital copies can be analyzed multiple times without destroying the original physical sample, enabling both biomarker detection and morphological analysis while preserving sample integrity.
Solution Approach 2:
The patent replaces the mechanical destruction process of flow cytometry with a digital imaging system. Instead of physically breaking down the sample to analyze biomarkers, the system uses optical imaging to capture and store sample information, eliminating the destructive mechanical process.
2Measurement precision
If flow cytometry is used to detect biomarkers, then particle characteristics can be measured, but morphological characteristics such as physical proximity in the original sample cannot be detected
Solution Approach 1:
The patent segments the biological sample into individual particles or cells while preserving their spatial relationships through digital imaging. Each particle can be individually analyzed for biomarker expression while the overall morphological context and inter-particle distances are maintained in the digital image for separate analysis.
Solution Approach 2:
The patent transitions from a one-dimensional flow-through analysis (flow cytometry) to a two-dimensional or three-dimensional spatial analysis through digital imaging. This dimensional change allows simultaneous measurement of biomarker expression and morphological characteristics including physical proximity, particle shape, and spatial arrangement in the original sample context.
Data Source
AI summary
Exemplary embodiments include methods, systems, and devices for enabling users to provide quality scores for indicating the quality of image analysis methods performed on images of biological tissue. An exemplary user interface displays results of an image analysis method performed on an image of biological tissue in an overlaid manner on an image of biological tissue. The exemplary user interface enable a user to provide, directly on the user interface, one or more quality scores to indicate the user's assessment of the quality of the image analysis performed on the image. Exemplary embodiments store the quality scores provided by the user in association with the image analysis method and the image of biological tissue.